Articles you may be interested in Multifractal subgrid-scale modeling within a variational multiscale method for large-eddy simulation of passive-scalar mixing in turbulent flow at low and high Schmidt numbers The physics of energy transfer toward improved subgrid-scale models A hybrid subgrid-scale model constrained by Reynolds stress A dynamic subgrid-scale eddy viscosity model with a global ...

Combinatorial topology, also known as \rubber sheet geometry", has extensive applications in geometry and analysis, many of which result from connections with the theory of di erential equations. A link between topology and di erential equations is vector elds. Recent developments in scienti c visualization have shown that vector elds also play an important role in the analysis of second-order ...

Aligned superhydrophobic surfaces with the same texture orientation reduce drag in the channel and generate secondary flows transverse to the direction of the applied pressure gradient. Here we show that a transverse shear can be easily generated by using superhydrophobic channels with misaligned textured surfaces. We propose a general theoretical approach to quantify this transverse flow by in...

in this study, the turbulent kinetic energy redistribution process is investigated. to this aim, the direct numerical simulation (dns) of incompressible flow of a newtonian fluid through a channel at a shear reynolds number of reτ = 180 is used to produce a flow data base. then, these data are statistically analyzed. the turbulent kinetic energy redistribution is studied using the pressure-stra...

This paper presents a neural-network-based turbulence modeling approach for transonic flows based on the ensemble Kalman method. The adopts tensor-basis neural network Reynolds-stress representation, with modified inputs to consider fluid compressibility. normalization of input features is also investigated avoid feature collapsing in presence shock waves. Moreover, turbulent heat flux accordin...

In order to achieve a virtual certification process and robust designs for turbomachinery, the uncertainty bounds Computational Fluid Dynamics have be known. The formulation of turbulence closure models implies major source overall Reynolds-averaged Navier-Stokes simulations. We discuss common practice applying physics constrained eigenspace perturbation Reynolds stress tensor in account model ...

Key words hydrodynamics – methods: numerical – turbulence We determine the timescales associated with turbulent decay and isotropization in closure models using anisotropically forced and freely decaying turbulence simulations and study the applicability of these models. We compare the results from anisotropically forced three-dimensional numerical simulations with the predictions of the closur...